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Computed Tomography (CT)

The term “computed tomography”, or CT, refers to a computerized x-ray imaging procedure in which a narrow beam of x-rays is aimed at a patient and quickly rotated around the body, producing signals that are processed by the machine's computer to generate cross-sectional images—or “slices”—of the body.

( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )

Papers

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Showing 276–300 of 1207 papers

TitleStatusHype
Web Diagnosis for COVID-19 and Pneumonia Based on Computed Tomography Scans and X-raysCode0
Cadmium Zinc Telluride (CZT) photon counting detector Characterisation for soft tissue imaging—0
Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction—0
3DGR-CT: Sparse-View CT Reconstruction with a 3D Gaussian Representation—0
Texture Matching GAN for CT Image Enhancement—0
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal CarcinomaCode1
Prompted Contextual Transformer for Incomplete-View CT ReconstructionCode1
MedYOLO: A Medical Image Object Detection FrameworkCode1
COVID-19 Detection Using Slices Processing Techniques and a Modified Xception Classifier from Computed Tomography Images—0
Exploring 3D U-Net Training Configurations and Post-Processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge—0
Class-Discriminative Attention Maps for Vision Transformers—0
MEDPSeg: Hierarchical polymorphic multitask learning for the segmentation of ground-glass opacities, consolidation, and pulmonary structures on computed tomographyCode1
Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)—0
An Ensemble of 2.5D ResUnet Based Models for Segmentation for Kidney and Masses—0
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines—0
X-Ray to CT Rigid Registration Using Scene Coordinate RegressionCode1
View it like a radiologist: Shifted windows for deep learning augmentation of CT imagesCode0
Lightweight Framework for Automated Kidney Stone Detection using coronal CT images—0
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT—0
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registrationCode1
Lung cancer detection from thoracic CT scans using an ensemble of deep learning modelsCode0
Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm—0
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning—0
Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection—0
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